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Online appearance-based place recogn...

Tsintotas, Konstantinos A.

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Online appearance-based place recognition and mapping = their role in autonomous navigation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Online appearance-based place recognition and mapping/ by Konstantinos A. Tsintotas, Loukas Bampis, Antonios Gasteratos.
Reminder of title:	their role in autonomous navigation /
Author:	Tsintotas, Konstantinos A.
other author:	Bampis, Loukas.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxi, 111 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	The revisiting problem in simultaneous localization and mapping -- Benchmarking -- Probabilistic appearance-based place recognition through hierarchical mapping -- Dynamic places' deﬁnition for sequence-based visual place recognition -- Modest-vocabulary loop-closure detection with incremental bag of Tracked words -- Open challenges and conclusion.
Contained By:	Springer Nature eBook
Subject:	Optical pattern recognition. -
Online resource:	https://doi.org/10.1007/978-3-031-09396-8
ISBN:	9783031093968

Online appearance-based place recognition and mapping = their role in autonomous navigation /
Tsintotas, Konstantinos A.

Online appearance-based place recognition and mappingtheir role in autonomous navigation /[electronic resource] :by Konstantinos A. Tsintotas, Loukas Bampis, Antonios Gasteratos. - Cham :Springer International Publishing :2022. - xxi, 111 p. :ill. (chiefly color), digital ;24 cm. - Springer tracts in advanced robotics,v. 1331610-742X ;. - Springer tracts in advanced robotics ;v. 133..

The revisiting problem in simultaneous localization and mapping -- Benchmarking -- Probabilistic appearance-based place recognition through hierarchical mapping -- Dynamic places' deﬁnition for sequence-based visual place recognition -- Modest-vocabulary loop-closure detection with incremental bag of Tracked words -- Open challenges and conclusion.

This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.

ISBN: 9783031093968

Standard No.: 10.1007/978-3-031-09396-8doiSubjects--Topical Terms:

665526
Optical pattern recognition.

LC Class. No.: TA1650

Dewey Class. No.: 006.42

Online appearance-based place recognition and mapping = their role in autonomous navigation /
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505 0 $a The revisiting problem in simultaneous localization and mapping -- Benchmarking -- Probabilistic appearance-based place recognition through hierarchical mapping -- Dynamic places' deﬁnition for sequence-based visual place recognition -- Modest-vocabulary loop-closure detection with incremental bag of Tracked words -- Open challenges and conclusion.
520 $a This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.
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